Abstract: Traditional operation optimization methods cannot fully satisfy the interests of multi-participants in the integrated energy system, thus the application of multi-objective solving and screening technology in integrated energy optimization operation needs to be further improved. Therefore, a centralized optimization model based on multi-party interests and the corresponding new solving and screening method are proposed. Firstly, the benefits of new energy suppliers, integrated energy service providers, and users are comprehensively considered, and a park-level integrated energy system economic optimization scheduling model is constructed by taking into account the impact of comprehensive demand response. Secondly, an improved NSGA-III algorithm is proposed based on the NSGA-III algorithm, which uses NSGA-II algorithm to optimize the prophet population and introduces a global archiving strategy. Finally, a fuzzy membership function and an improved fuzzy C-means algorithm are used to propose a hybrid screening strategy based on satisfying degree and cluster analysis. The research results show that the proposed economic optimization operation method of the integrated energy system has excellent performance. The new energy consumption and comprehensive demand response obtained by this method have reached a higher level, and the benefit distributions of the dispatch plan are more even. The research could provide references for the economic optimization operation of the integrated energy system.